scholarly journals Smallholders’ Agricultural Production Efficiency of Conservation Tillage in Jianghan Plain, China—Based on a Three-Stage DEA Model

2020 ◽  
Vol 17 (20) ◽  
pp. 7470
Author(s):  
Xin Yang ◽  
Guangyin Shang
Keyword(s):  
Environmental Factors ◽  
Technical Efficiency ◽  
Agricultural Production ◽  
Production Efficiency ◽  
Conservation Tillage ◽  
Policy Support ◽  
Scale Efficiency ◽  
Jianghan Plain ◽  
Dea Model ◽  
The Impact

Based on interviews with 695 smallholders in Jianghan Plain, this paper introduced the three-stage data envelopment analysis (DEA) model to analyze the agricultural production efficiency of conservation tillage adopters and explored the impact of environmental factors on agricultural production efficiency. The empirical results showed the following (1) Planting area, seed consumption, labor input, pesticide usage, chemical fertilizer usage, agricultural film usage were selected as input indicators, agricultural output was chosen as an output indicator, and the traditional DEA model was used to calculate the production efficiency of smallholders, and the agricultural production efficiency of smallholders was found to be at a low level. In addition, environmental and random factors both have significant impacts on efficiency, so they should be stripped. (2) After excluding environmental factors and random factors, the drop in pure technical efficiency of smallholders in the third stage was higher than the drop in scale efficiency when compared with the first stage. Moreover, the true technical efficiency was the main restricting factor for the agricultural production efficiency. (3) Educational level of smallholders, policy support, and information acquisition were the factors that affect the technical efficiency significantly. Improving the efficiency of agricultural production technology for smallholders requires strengthening rural basic education, improving subsidy policies for conservation agricultural technology, and establishing and improving rural information technology services.

scholarly journals New Round of Collective Forest Rights Reform, Forestland Transfer and Household Production Efficiency

Land ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 988
Author(s):  
Jinna Yu ◽  
Yiming Wei ◽  
Wei Fang ◽  
Zhen Liu ◽  
Yujie Zhang ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Positive Impact ◽  
Field Investigation ◽  
Jiangxi Province ◽  
Scale Efficiency ◽  
Policy Effects ◽  
Influence Mechanism ◽  
Household Productivity ◽  
The Impact

The purpose of this paper was to analyze the influence mechanism of the new round of Collective Forest Rights Reform (CFRR) on farmers’ production efficiency from the perspective of forestland transfer. Based on the panel data of field investigation in Jiangxi Province, a panel logit model was used to verify whether the new round of CFRR has affected farmers’ forestland circulation behavior. The results showed that the new round of CFRR has played a significant role in promoting forestland circulation. Secondly, the non-parametric DEA method was used to estimate the technical, scale, and comprehensive efficiency of households. DID and panel quantile models were constructed to analyze the impact of forestland inflow policy and forestland outflow policy effects on rural household productivity. The regression results showed that the effect of forestland inflow has had a significantly positive impact on scale and comprehensive efficiency, but it only had a significant effect on technical efficiency in the 0.1 quartile. The effect of forestland outflow was not found to be significant for technical, scale, and comprehensive efficiency, but it was found to be negative for technical efficiency in the 0.75 quartile and negative for scale efficiency in the 0.5 and 0.75 quantiles.

Impact of Bank Operational Efficiency Using a Three-Stage DEA Model

2014 ◽  
Vol 3 (4) ◽  
pp. 32-50 ◽  
Author(s):  
Mu-Shun Wang ◽  
Chihuang Lin
Keyword(s):  
Technical Efficiency ◽  
Commercial Banks ◽  
Global Financial Crisis ◽  
Ordinary Least Squares ◽  
Capital Adequacy ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Financial Industry ◽  
Dea Model ◽  
The Impact

In this study the authors use a three-stage sequential technique to develop a Data Envelopment Analysis (DEA) model for examining a bank's technical efficiency index. Internal risk and environmental risk are incorporated into this model to accommodate the well-known BASEL III Accord (required capital adequacy ratio in the financial industry) and to ensure the amount of derivatives turnover ratio is at the level defined by industry best-practices. Information is obtained from 34 Taiwanese commercial banks for the period from 2008 to 2011 following the global financial crisis. The Malmquist total factor productivity index (TFP) is also employed to measure the impact of changes in productivity on the panel data. Empirical results derived from the DEA approach show a gain in technical efficiency and scale efficiency in the industry after adjusting the slack variables when using the corrected ordinary least squares (COLS) regression model. The results indicate that commercial banks need to diversify to increase their market share when dealing with derivatives which are associated with higher risk. The Balk's Malmquisit TFP index shows a decrease in bank productivity and improvement in pure technical efficiency. In this study the authors found that after risk-adjustment there was a distinct inefficient unit decrease and but a marginal unit increase in efficiency.

scholarly journals Research on corn production efficiency and influencing factors of typical farms: Based on data from 12 corn-producing countries from 2012 to 2019

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254423
Author(s):  
Jiamei Wang ◽  
Xiangdong Hu
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Conservation Tillage ◽  
Data Envelopment ◽  
Corn Production ◽  
Influencing Mechanism ◽  
The World ◽  
Average Loss ◽  
High Production ◽  
The Impact

Globally, corn is characterised by high production and high export concentrations, yet the world is experiencing an unprecedented, huge change in this regard. Ensuring the global supply of corn, and thereby the energy and food security of nations has become particularly important. To understand the importance of corn production as an influencing mechanism of global food supplies, the present study researched the corn production of typical farms in major corn-producing and importing countries around the world. I selected the corn input and output data of 18 typical farms in 12 countries from 2012 to 2019, used the data envelopment analysis (DEA) model to calculate the technical efficiency of corn production, and built a tobit model to explore the impact of farming methods, input elements, supporting services, and other factors on efficiency. The study established that the average comprehensive technical efficiency of corn production on a typical farm was 0.863, and the average loss was 13.7%. In addition, it concluded that intensive tillage and conservation tillage have high technical efficiency. It also demonstrated that the proportion of mechanical labour and technical efficiency is in a ‘U’-shaped relationship, among others.

scholarly journals Efficiency Evaluation of China’s Public Sports Services: A Three-Stage DEA Model

2021 ◽  
Vol 18 (20) ◽  
pp. 10597
Author(s):  
Pengyu Ren ◽  
Zhaoxia Liu
Keyword(s):  
Technical Efficiency ◽  
Environmental Variables ◽  
Positive Impact ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Fitness Program ◽  
Dea Model ◽  
Service Efficiency ◽  
The Impact

Improving the level of public sports services enhances citizens’ physical fitness by implementing the national fitness program. A systematic and scientific efficiency evaluation is a prerequisite for optimizing and improving the level of public sports services in China. Based on data of the Chinese Statistic Yearbook, this study adopted the three-stage data envelopment analysis (DEA) model to measure and analyze the efficiency of public sports services in 31 provinces in China in 2016. To analyze the efficiency of public sports services, technical efficiency was decomposed into pure technical efficiency and scale efficiency. Simultaneously, environmental variables were added to improve accuracy. The results showed that scale efficiency was overestimated, and external technical efficiency was underestimated, before the elimination of external factors and environmental variables. Environmental factors significantly impacted the efficiency of public sports services. Regional gross domestic product (GDP) had a potentially positive impact, while population size partially restricted public sports service efficiency. After eliminating the impact of environmental and random factors, the comprehensive efficiency, pure technical efficiency, and scale efficiency of public sports services all showed improvement in varying degrees. The results provide beneficial insights for the formulation of rational improvement policies for public sports services.

Agricultural production mode transformation and production efficiency

2019 ◽  
Vol 11 (1) ◽  
pp. 160-179 ◽  
Author(s):  
Zimin Liu ◽  
Dan Yang ◽  
Tao Wen
Keyword(s):  
Division Of Labor ◽  
Technical Efficiency ◽  
Selection Bias ◽  
Agricultural Production ◽  
Production Efficiency ◽  
Production Mode ◽  
Content Type ◽  
Mode Transformation ◽  
Endogenous Selection ◽  
The Impact

Purpose The purpose of this paper is to analyze the impact of farmers’ agricultural production mode transformation, from the perspective of agricultural division of labor and cooperation, on their agricultural production efficiency including technical efficiency, pure technical efficiency and scale efficiency. Design/methodology/approach This paper analyzes the impact of the agricultural production mode’s transformation on farmers’ agricultural production efficiency, based on the classical theory of division of labor and specialization, transaction costs and cooperation. It uses 2013 survey data from 396 farms in 15 Chinese provinces to explore the contributing factors of agricultural production efficiency using a double selection model (DSM), which can correct the endogenous selection bias in farmers’ decisions. Findings Farmers that participate in agricultural division of labor and cooperation means transform their agricultural production from a traditional self-sufficient mode to one that is specialized and intensive. Agricultural division of labor measured by farmers’ participation in an agricultural division of labor in the production stages, or in agricultural products, and agricultural cooperation measured by farmers’ participation in farmers’ cooperatives significantly and positively influence their agricultural production efficiency after correcting farmers’ endogenous selection bias. Originality/value This paper proposes a unified framework to analyze the impact of farmers’ agricultural production mode transformation on their production efficiency. Further, it builds a DSM for an empirical analysis to avoid the endogenous biases in farmers’ self-selection behavior. This paper also provides ways for policy makers to improve farmers’ agricultural production efficiency from the modern agricultural production perspective.

scholarly journals Płatności prośrodowiskowe jako instrument ochrony użytkowej biosfery w rolnictwie

2020 ◽  
Vol 29 (2) ◽  
pp. 37
Author(s):  
Beata Jeżyńska
Keyword(s):  
Environmental Factors ◽  
Soil Quality ◽  
Agricultural Policy ◽  
Common Agricultural Policy ◽  
Agricultural Production ◽  
Environmental Aspects ◽  
The Common ◽  
New Guidelines ◽  
Quality Assessments ◽  
The Impact

<p>The need to keep the expected level of production in agriculture generates a serious burden on the environment. The most important environmental factors exposed to the impact of agriculture include biodiversity and water, air, and soil quality. Assessments of all these environmental aspects related to agricultural production are negative. The condition of the agricultural environment has been subject to rapid deterioration. In such a situation, environmental instruments have drawn particular attention from the European legislature when developing new guidelines of the Common Agricultural Policy to be applicable after 2020.</p>

scholarly journals Corruption and the agricultural production efficiency of the European countries during the recent economic crisis

2015 ◽  
Vol 2 (3) ◽  
pp. 427-437
Author(s):  
Mohammad Monirul Hasan ◽  
József Tóth
Keyword(s):  
Technical Efficiency ◽  
Economic Crisis ◽  
Agricultural Production ◽  
Production Efficiency ◽  
National Level ◽  
Geographical Location ◽  
European Countries ◽  
Economic Downturn ◽  
Member States ◽  
Control Of Corruption

This paper examines the association between controls of corruption and the agricultural production efficiency of 23 European Union Member States during the recent economic crisis. Production efficiency, measured in terms of technical efficiency, is the effectiveness of a given set of inputs that is used to produce an output. Owing to climate and geographical location agriculture in European countries is diverse. The economic downturn led by the financial crisis which started in mid-2007, is still prevailing across European countries. Control of corruption along with the existing economic crisis of the member states are affecting agriculture production efficiency. This study used the national level production data for the period of 2003-2009. It shows that the technical efficiency of most Member States have declined over the years and that it was significantly lower in austere economic crisis time 2007-09 than 2003-06 for all countries. It is also found that the declining trend of technical efficiency is significantly lower for central and eastern European countries than for the western European countries. Study finds that the control of corruption in the presence of high government effectiveness, decreases the technical efficiency of agricultural production in the Member States.Res. Agric., Livest. Fish.2(3): 427-437, December 2015

scholarly journals Research on the Scientific Research Efficiency of Provincial Universities Based on the DEA Model

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Lifeng Wang ◽  
Tan Wang
Keyword(s):  
Economic Development ◽  
Technical Efficiency ◽  
Scientific Research ◽  
Regional Economic Development ◽  
Colleges And Universities ◽  
Scale Efficiency ◽  
Regional Economic ◽  
Positive Correlation ◽  
Dea Model ◽  
Research Efficiency

As the main factor of China’s higher education, effective evaluation of the scientific research efficiency of domestic universities is extremely significant to improve the scientific research management system of local universities, optimize the allocation of scientific research resources, and promote regional economic development. Based on the ten-year statistical data of the compilation of science and technology statistics of colleges and universities, this paper adopts the data envelopment analysis (DEA) model to study the scientific research efficiency of 31 provincial universities in Shandong Province from three dimensions: level, type, and region. The results show that, first, the overall scientific research efficiency of the sample universities is not high and takes on a downward trend; there are some differences, changes in the same direction, and level convergence in each dimension of scientific research efficiency. Second, there is a positive correlation between the comprehensive scientific research strength of the sample universities and the technical efficiency. Third, the level of regional economic development has a positive impact on the scale efficiency of scientific research, which is closely related to the technical efficiency, and there is no positive correlation between these two. Thus, the research suggests that, in the future, colleges and universities should formulate differentiated management policies, build a “Government University” two-level scientific research performance evaluation system guided by scientific research quality, change the concept of scientific research managers, and improve the ability of personnel to improve the efficiency of scientific research in colleges and universities.

scholarly journals Diversification or specialisation? Farmers' cropping strategy and economic performance under climate change in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mingze Wu ◽  
Yueji Zhu ◽  
Qi Yang
Keyword(s):  
Climate Change ◽  
Technical Efficiency ◽  
Economic Performance ◽  
Agricultural Production ◽  
Negative Impact ◽  
Adaptation Strategies ◽  
Content Type ◽  
Impact Of Climate Change ◽  
Changing Climate ◽  
The Impact

Purpose Farmers' adaptation strategies in agricultural production are required to minimise the negative impact of climate change on a nation's food production in developing countries. Based on the panel data of the provincial level in China from 2000 to 2017, this study aims to analyse the changing climate over recent years and farmers' adaptation strategy in terms of cropping in agricultural production. Design/methodology/approach This study uses Simpson's diversity index (SDI) to measure the degree of crop diversity planted by farmers and evaluate the influence of climate change on farmers' cropping strategy using the fixed-effect model. Further, the authors estimate the impact of farmers' cropping strategy on their economic performances in two aspects including yields and technical efficiency of crops. Findings The empirical results show that the overall climate appears a warming trend. Different from farmers in some other countries, Chinese farmers tend to adopt a more specialised cropping strategy which can significantly improve the technical efficiency and yields of crops in agriculture. In addition, as a moderating role, the specialised cropping can help farmers to alleviate the negative impact of climate change on technical efficiency of their crops. Originality/value First, previous studies showed that the changing climate influenced farmers' adaptation strategies, while most studies focussed on multiple adaptation strategies from the farm-level perspective rather than cropping strategy from the nation-level perspective. Second, the present study investigates how the cropping strategy affects the economic performance (in terms of the technical efficiency and crop yields) of agricultural production. Third, the stochastic frontier analysis method is used to estimate the technical efficiency. Fourth, this study explores the moderating effect between farmers' cropping strategy and technical efficiency by introducing an interaction item of SDI and accumulated temperature.

scholarly journals Impact of water resources management on area under cultivation level and agricultural production efficiency (Case Study: Villages of Zebarkhan district of Neyshabur city)

2020 ◽  
Vol 24 ◽  
pp. 36
Author(s):  
Ali Kariznovi ◽  
Hamid Jafari
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Agricultural Production ◽  
Production Efficiency ◽  
Agricultural Sector ◽  
Rural Settlements ◽  
Field Methods ◽  
Resources Management ◽  
The Impact

The amount of water consumed in the agricultural sector in Iran is higher than the global average and this necessitates more attention to proper water management in this sector. Due to the climatic conditions of Iran, the average rainfall in most areas is lower than global rainfall. That is to say, the water issue is one of Iran's most important concerns or the greatest challenge for the people of this land. Examining the current agricultural situation indicates that despite the increased agricultural production potential due to the lack of a proper management system, optimal utilization of available resources has not become possible and droughts and reduced rainfall and increasing population followed reduce the amount of water consumed in the agricultural sector. The present study investigates the impact of agricultural water resources management on the economic development of rural settlements (Case study: Villages of Zebarkhan district of Neyshabur city). This research is applied in terms of purpose and in terms of descriptive and analytical method and library and field methods have been used for data collection. According to the results of the present study and data analysis regarding the amount of water consumed in the study area, it was observed that the amount of water consumed per hectare for all crops in modern management lands was less than the fields where managed by the traditional way. This suggests that modern science-based scientific management has played a key role in reducing the loss of water resources within the scope of this study, and in contrast, water loss in farms that are managed in traditional ways is so high. Also, regarding the production efficiency in the study area, the results showed that the production efficiency per hectare for all crops was significantly higher than that under traditional management. This rate varied between 25 to 57.1%.

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